Solution
= Solution
<Kernel principal component analysis> can represent nonlinear low-dimensional structure by performing linear PCA in a nonlinear feature space. It can also work directly with structured objects such as strings through a kernel, without assigning them explicit finite-dimensional coordinates. Both capabilities are unavailable to ordinary linear PCA on the original variables.